Sr. Specialist – Business Intelligence Engineer
Company | Snapchat |
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Location | Palo Alto, CA, USA, Los Angeles, CA, USA |
Salary | $111000 – $196000 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Bachelor’s degree in computer science/economics/mathematics or equivalent preferred
- 5+ years experience in quantitative analysis and research
- Proficiency in SQL and python/R for analysis and data visualization
Responsibilities
- Understanding challenges the business faces and helping them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story.
- Understand the business challenges and needs to help leadership make data driven decisions by analyzing and combining data across multiple sources.
- Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group
- Use data and logic to impact client and business success by providing analysis, insights, reports and actionable recommendations
- Partner with cross-functional teams to build out measurement agendas/strategies, provide data based insights for products in alpha or beta, and deliver feedback on data tools in development.
- Distill complicated analytical concepts for broader audiences and be able to influence their decision making through a data story
- Build and maintain dashboards and reports to help the business understand and optimize advertiser performance and product development through a client-centric lens.
- Proactively identify projects that impact revenue, defines scope and objectives, and proposes a course of action required to attain objectives
- Work with Account Management to provide real time analysis for auction campaigns; influence incremental spend through data driven upsell recommendations
- Function as a thought leader, offering insights related to vertical or category industry trends in order to inform or strengthen Snap’s in-market pitch.
Preferred Qualifications
- Data driven and analytical mindset
- Strong attention to detail
- Ability to work in an agile, dynamic environment
- Ability to work individually while operating as a collaborative team player
- Able to grasp business problems and design technical data-based solutions that are implementable, efficient and scalable
- Experience in performing analysis on big data sets and coming up with actionable insights
- Comfortable in interpreting complex data signals and presenting to technical and non-technical audiences